Computer Centre
2012-05-15
Nesstar PublisherVersion 1.0 (May 2012)Urban Slums Survey: NSS 65th Round, Schedule 0.21, July 2008- June 2009DDI-IND-MOSPI-NSSO-65Rnd-Sch-0dot21-2008-09National Sample Survey Office
Governing council and Working Group
Survey Design Reearch Division
Field Operations Division
Data Processing Division
Computer Centre
Nesstar Publisher
M/o Statistics & Programme Implementation, GOIADG, SDRD , NSSO
Socio-Economic/Household Survey
Notified slumFlood riskApproach RoadSlum dwellersLiving facilitiesGarbage disposalDrainageNSS 65th Round,Schedule 0.21July 2006 - June 2007The first nationwide survey on the 'economic condition of slum dwellers in urban cities' was conducted by the NSSO in its 31st round (July 1976 - June 1977). The survey was restricted to (i) all the 'Class I' towns having 1971 census population one lakh or more and (ii) two 'Class II' towns, viz. Shillong and Pondicherry. The next survey on slum dwellers was carried out in the 49th round (January - June 1993), which covered rural as well as urban areas. After a gap of nearly ten years, the third survey was conducted in the 58th round (July-December 2002), covering only the urban slums. In the present round also, the survey is restricted to urban slums only. For this survey, conducted during July 2008 to June 2009, urban areas notified as slums by respective municipalities, corporations, local bodies or development authorities were treated as “notified slums”. A “non-notified slum” was a compact urban area with a collection of poorly built tenements, mostly of temporary nature, crowded together usually with inadequate sanitary and drinking water facilities in unhygienic conditions. All such slums, notified or non-notified, were considered as ‘slum’ for the purpose of the survey, if at least 20 households lived in such a slum within the selected urban block.IndiaThe survey covered the whole URBAN area of the Indian Union.Randomly selected urban slums based on sampling procedure.
Sample survey data [ssd]
Field Operations Division of Naional Sample Survey Office
A stratified sampling design was adopted for selection of the sample first-stage units (FSUs). The FSUs for the survey on condition of slums were Urban Frame Survey (UFS) blocks in urban areas. Information was collected on each slum, notified or non-notified, found in the entire area of the selected first stage units. In some cases, the area of a slum was very large and extended beyond the selected FSU. In such cases, information was collected only for the part of the slum falling within the sample FSU. For a notified slum, too, only the part of the slum falling within the sample FSU was considered as one slum and surveyed as such. It may be noted that if a slum cut across more than one FSU, all the slum particulars recorded would relate to the part of the slum which fell in the selected FSU. A
detailed discussion on the sample design and estimation procedure followed in the survey is given as an attachment to external resources.
There was no deviation from the original sample deviation.
Focus Group [foc]
In external resources find attached as a document
In external resources find attached as a document
Computer Centre
Validated unit level data relating to various survey rounds are available on CD-ROMS which can be obtained from the Deputy Director General, Computer Centre, M/O Statistics and PI, East Block No. 10 R.K. Puram, New Delhi-110066 by remitting the price along with packaging and postal charges as well as giving an undertaking duly signed in a specified format.The amount is to be remitted by way of demand draft drawn in favour of Pay & Accounts Officer, Ministry of Statistics & Programme Implementation, payable at New Delhi.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Block-1-Identification-FSU-Records.NSDstat
This dataset contains Identification of sample FSU (Urban) and few particulars of field operations
684
22
Nesstar 200801
NSSO
Block-3-Particulars-slum-Records.NSDstat
Some broad information about the slum(s) (such as no.of hholds in slum,area,type,location, facilities etc.)falling within the entire selected UFS block are the content of this dataset.
730
47
Nesstar 200801
NSSO
Block-4-Change-improvement-slum condition-Records.NSDstat
730
44
Nesstar 200801
NSSO
Key to locate FSU
684
0
Key variable to locate FSU
Record-ID (indicate block no of schedule)
684
0
01
684
Round
684
0
Indicate NSS survey round no.
65
684
Schedule Number
684
0
Indicate schedule number 0.21
021
684
Sample
Sample (Central=1,state-2)
684
0
1
684
Sub-Round
Sub-Round
684
0
1
190
2
189
3
164
4
141
Sub-sample
Sub-sample
684
0
For urban strata x sub-strata (wherever applicable), the towns within the stratum have been arranged in ascending order of population; then FSUs were selected by circular systematic sampling with equal probability for UFS towns. Within each stratum/ sub-stratum, multiple of 4 FSUs were selected. Samples have been drawn in the form of two independent sub-samples (sub-sample-1 and 2)
1
343
2
341
Sector
Sector code
Only Urban areas considered for this survey
684
0
In the NSS, the domains of study are usually rural and urban areas within a zone, state, region or district. The rural and urban areas of the country are taken as adopted in the latest population census.
2
684
State
State code
684
0
States and Union Territories are the broad domains of study in the NSS. They are assigned 2 digited codes,
01
3
02
1
03
2
04
7
05
4
06
7
07
51
08
6
09
32
10
4
11
1
13
2
15
7
16
3
19
75
20
5
21
29
22
6
23
31
24
49
27
177
28
71
29
45
30
7
32
8
33
46
34
5
Region
Region code
684
0
States have been divided into regions by grouping contiguous districts similar in respect of population density and crop pattern. In Gujarat, however, some districts have been split for the purpose of region formation, considering the location of dry areas and the distribution of tribal population in the state. The compositions of the regions are given in Appendix-II of instruction manual
1
281
2
113
3
128
4
87
5
65
6
10
FOD-Sub-Region
FOD-Sub-Region
684
0
0000
10
0110
1
0120
1
0122
1
0210
1
0320
2
0511
4
0610
7
0611
1
0612
1
0613
1
0615
3
0710
51
0811
3
0820
2
0823
1
0910
7
0912
11
0920
2
0923
1
0930
1
0940
1
0944
9
1010
1
1013
1
1021
1
1022
1
1110
1
1310
2
1910
8
1911
2
1912
9
1913
2
1920
47
1921
6
1932
1
2012
4
2013
1
2110
4
2111
5
2113
8
2120
12
2210
2
2213
4
2310
9
2312
5
2313
3
2321
2
2323
2
2330
1
2331
5
2332
4
2410
2
2411
3
2413
4
2414
7
2420
10
2421
1
2422
7
2423
13
2424
2
2710
7
2711
8
2712
3
2713
10
2720
63
2721
16
2730
28
2731
7
2732
7
2740
17
2741
2
2742
9
2810
4
2811
2
2812
8
2813
3
2814
3
2820
10
2821
6
2822
2
2823
5
2830
12
2831
8
2832
10
2910
14
2911
6
2912
5
2913
2
2920
12
2921
2
2922
4
2923
1
3010
7
3212
2
3220
2
3222
4
3310
7
3312
6
3313
6
3320
11
3321
2
3322
5
3323
2
3330
3
3331
4
3333
2
3615
1
District
District
684
0
01
72
02
21
03
27
04
10
05
14
06
12
07
11
08
8
09
49
10
11
11
33
12
31
13
28
14
21
15
22
16
21
17
46
18
9
19
17
20
30
21
28
22
73
23
5
24
10
25
21
26
6
27
5
28
1
29
3
30
8
31
5
32
5
34
12
35
1
37
2
39
1
45
2
48
2
60
1
Stratum
Stratum
684
0
Urban sector: In the urban sector, strata have been formed within each NSS region on the basis of size class of towns as per Census 2001 town population. This departure has been made in the stratification principle in order to facilitate generation of town-class wise estimates to satisfy the requirements of the user ministries.
01
113
02
97
03
173
04
83
05
196
06
14
07
8
Sub-Stratum (urban only)
Sub-Stratum (urban only)
684
0
01
434
02
250
First Stage Unit Serial No.
First Stage Unit Serial No.
684
0
A stratified multi-stage design has been adopted for the 65th round survey.The first stage units (FSU) are Urban Frame Survey (UFS) blocks in the urban sector. For towns with no UFS frame available (applicable to Leh and Kargil towns of J & K), each town is treated as an FSU.
50026
1
50041
1
50042
1
50045
1
50048
1
50063
1
50069
1
50083
1
50100
1
50101
1
50102
1
50104
1
50105
1
50106
1
50108
1
50109
1
50111
1
50114
1
50115
1
50119
1
50120
1
50130
1
50134
1
50136
1
50140
1
50142
1
50144
1
50146
1
50158
1
50162
1
50163
1
50170
1
50171
1
50172
1
50178
1
50191
1
50202
1
50206
1
50212
1
50215
1
50217
1
50218
1
50219
1
50223
1
50225
1
50226
1
50228
1
50230
1
50262
1
50283
1
50288
1
50290
1
50293
1
50294
1
50298
1
50306
1
50319
1
50320
1
50321
1
50334
1
50335
1
50342
1
50343
1
50353
1
50359
1
50360
1
50362
1
50396
1
50426
1
50443
1
50448
1
50454
1
50455
1
50462
1
50464
1
50465
1
50466
1
50469
1
50492
1
50498
1
50506
1
50516
1
50517
1
50540
1
50541
1
50542
1
50543
1
50553
1
50565
1
50577
1
50585
1
50599
1
50600
1
50607
1
50615
1
50616
1
50622
1
50624
1
50625
1
50626
1
50629
1
50630
1
50631
1
50633
1
50634
1
50635
1
50637
1
50638
1
50645
1
50647
1
50649
1
50654
1
50661
1
50662
1
50665
1
50666
1
50668
1
50670
1
50673
1
50674
1
50678
1
50685
1
50688
1
50691
1
50692
1
50693
1
50696
1
50697
1
50698
1
50700
1
50704
1
50710
1
50714
1
50730
1
50735
1
50738
1
50743
1
50744
1
50752
1
50756
1
50777
1
50790
1
50794
1
50795
1
50844
1
50849
1
50875
1
50876
1
50878
1
50903
1
50944
1
50945
1
50953
1
50961
1
50964
1
50976
1
50984
1
53005
1
53007
1
53010
1
53041
1
53048
1
53052
1
53056
1
53059
1
53061
1
53067
1
53068
1
53072
1
53075
1
53094
1
53102
1
53108
1
53109
1
53164
1
53165
1
53166
1
53169
1
53171
1
53321
1
53332
1
53343
1
53346
1
53351
1
53358
1
53379
1
53394
1
53395
1
53398
1
53414
1
53425
1
53442
1
53465
1
53485
1
53516
1
53526
1
53553
1
53560
1
53561
1
53568
1
53573
1
53588
1
53589
1
53787
1
53841
1
53900
1
53908
1
53912
1
53919
1
53933
1
53944
1
53946
1
53964
1
53967
1
53978
1
53993
1
54002
1
54019
1
54102
1
54106
1
54204
1
54233
1
54302
1
54307
1
54322
1
54328
1
54358
1
54377
1
54378
1
54419
1
54422
1
54423
1
54429
1
54435
1
54437
1
54441
1
54444
1
54483
1
54492
1
54494
1
54496
1
54515
1
54540
1
54543
1
54551
1
54555
1
54578
1
54583
1
54590
1
54703
1
54770
1
54879
1
54911
1
54916
1
54962
1
54985
1
54994
1
55100
1
55103
1
55104
1
55107
1
55109
1
55110
1
55114
1
55115
1
55120
1
55124
1
55135
1
55140
1
55144
1
55145
1
55149
1
55156
1
55159
1
55162
1
55163
1
55167
1
55175
1
55176
1
55186
1
55199
1
55224
1
55235
1
55277
1
55303
1
55311
1
55315
1
55327
1
55328
1
55329
1
55332
1
55333
1
55336
1
55338
1
55340
1
55341
1
55350
1
55351
1
55366
1
55367
1
55369
1
55373
1
55379
1
55381
1
55382
1
55383
1
55386
1
55388
1
55395
1
55396
1
55406
1
55416
1
55428
1
55470
1
55475
1
55607
1
55610
1
55611
1
55612
1
55614
1
55618
1
55620
1
55626
1
55657
1
55660
1
55661
1
55662
1
55663
1
55666
1
55672
1
55681
1
55688
1
55732
1
55738
1
55782
1
55783
1
55789
1
55800
1
55801
1
55803
1
55804
1
55805
1
55809
1
55840
1
55843
1
55844
1
55849
1
55879
1
55895
1
55912
1
55925
1
55928
1
55931
1
55935
1
55937
1
55939
1
55965
1
55981
1
55989
1
55993
1
55999
1
57005
1
57014
1
57015
1
57034
1
57035
1
57094
1
57095
1
57105
1
57118
1
57120
1
57125
1
57128
1
57129
1
57131
1
57134
1
57141
1
57143
1
57149
1
57152
1
57154
1
57157
1
57167
1
57171
1
57175
1
57184
1
57189
1
57191
1
57192
1
57205
1
57238
1
57239
1
57242
1
57246
1
57247
1
57257
1
57271
1
57274
1
57292
1
57305
1
57331
1
57348
1
57350
1
57368
1
57372
1
57448
1
57506
1
57592
1
57601
1
57605
1
57640
1
57688
1
57739
1
57740
1
57792
1
57800
1
57802
1
57809
1
57813
1
57818
1
57820
1
57824
1
57834
1
57835
1
57837
1
57844
1
57865
1
57872
1
57877
1
57880
1
57883
1
57891
1
57895
1
57896
1
57904
1
57929
1
57944
1
57954
1
57967
1
57974
1
59026
1
59033
1
59042
1
59044
1
59046
1
59049
1
59053
1
59061
1
59074
1
59097
1
59098
1
59101
1
59107
1
59126
1
59133
1
59134
1
59137
1
59138
1
59139
1
59140
1
59142
1
59144
1
59149
1
59150
1
59153
1
59157
1
59161
1
59172
1
59175
1
59176
1
59177
1
59179
1
59190
1
59193
1
59195
1
59199
1
59209
1
59216
1
59229
1
59230
1
59235
1
59236
1
59239
1
59242
1
59243
1
59246
1
59264
1
59267
1
59269
1
59274
1
59276
1
59278
1
59282
1
59290
1
59294
1
59299
1
59303
1
59313
1
59314
1
59321
1
59322
1
59324
1
59327
1
59330
1
59332
1
59334
1
59335
1
59348
1
59350
1
59352
1
59354
1
59357
1
59360
1
59366
1
59373
1
59382
1
59391
1
59396
1
59406
1
59408
1
59410
1
59413
1
59414
1
59416
1
59420
1
59423
1
59424
1
59426
1
59428
1
59430
1
59432
1
59435
1
59436
1
59437
1
59439
1
59440
1
59444
1
59445
1
59449
1
59451
1
59460
1
59461
1
59468
1
59470
1
59471
1
59472
1
59473
1
59474
1
59476
1
59478
1
59479
1
59481
1
59482
1
59488
1
59489
1
59490
1
59492
1
59493
1
59494
1
59499
1
59500
1
59502
1
59511
1
59516
1
59520
1
59523
1
59525
1
59526
1
59530
1
59533
1
59535
1
59536
1
59539
1
59540
1
59542
1
59545
1
59546
1
59553
1
59555
1
59557
1
59558
1
59559
1
59562
1
59565
1
59566
1
59571
1
59574
1
59576
1
59577
1
59578
1
59588
1
59589
1
59590
1
59593
1
59610
1
59613
1
59616
1
59624
1
59636
1
59640
1
59654
1
59670
1
59675
1
59683
1
59688
1
59700
1
59706
1
59708
1
59709
1
59714
1
59715
1
59723
1
59726
1
59730
1
59731
1
59732
1
59733
1
59734
1
59736
1
59737
1
59738
1
59739
1
59740
1
59743
1
59752
1
59756
1
59757
1
59764
1
59770
1
59772
1
59773
1
59774
1
59775
1
59776
1
59778
1
59784
1
59785
1
59786
1
59794
1
59796
1
59799
1
59803
1
59808
1
59811
1
59824
1
59836
1
59845
1
59856
1
59858
1
59859
1
59861
1
59869
1
59871
1
59875
1
59877
1
59882
1
59885
1
59887
1
59891
1
59898
1
59902
1
59907
1
59908
1
59909
1
59922
1
59932
1
59942
1
59943
1
59945
1
59946
1
59947
1
59949
1
59951
1
59954
1
59958
1
59963
1
59964
1
59970
1
59975
1
59982
1
59983
1
59988
1
59993
1
59998
1
No. of slums in the fsu (urban)
Approximate number of households in the slum
The number of households residing in the slum as ascertained from local enquiry will be recorded in this item.
684
0
1
653
2
18
3
11
4
2
Date of Survey(ddmmyy)
Date of Survey(ddmmyy)
684
0
10908
311208
168440.757
74744.189
Multiplier sub-sample-wise
684
0
4
618
132.385
108.676
Generated Multiplier(Weight) variable for sub-sample-wise estimates
Multiplier Combined
684
0
2
309
66.192
54.338
Generated Multiplier(Weight) variable for combined estimates
Nss
684
0
2
96
10.735
18.516
Variables used for generating multilier
Nsc
684
0
4
192
21.471
37.033
Variables used for generating multilier
Multiplier-posted
684
0
400
61800
13238.462
10867.593
Variables used for generating multilier
Key to locate Slum slno
730
0
Unique key generated using FSU and Srl.No. of slum
Key to locate FSU
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
As given in corresponding variables in dataset of block-1
Contains duplicates
Record-ID (indicate block no of schedule)
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
02
730
Round
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
65
730
Schedule Number
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
021
730
Sample
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
1
730
Sub-Round
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
1
202
2
204
3
171
4
153
Sub-sample
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
1
367
2
363
Sector
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
2
730
State
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
01
3
02
1
03
2
04
7
05
5
06
7
07
53
08
6
09
32
10
5
11
1
13
2
15
7
16
3
19
78
20
6
21
34
22
6
23
31
24
57
27
196
28
73
29
45
30
7
32
9
33
49
34
5
Region
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
1
305
2
123
3
130
4
91
5
69
6
12
FOD-Sub-Region
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
District
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
Stratum
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
Sub-Stratum (urban only)
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
FSU Serial No.
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
Srl no. of slum
The serial number of the slum for which information is being collected in items 2 to 26 is to be recorded.
730
0
No. of hholds.
Approximate number of households in the slum
The number of households residing in the slum as ascertained from local enquiry will be recorded in this item
730
0
20
9999
253.644
854.771
Area of the slum (hectares)
Approximate area of the slum
The approximate area in hectares of the slum will be ascertained by the investigator and recorded against this item in code.
728
0
1
less than 0.05
97
2
319
3
169
4
72
5
25
6
18
7
7
8
21
Is the slum notified
Is the slum a notified one?
Whether the slum is a notified one or not will have to be ascertained from the local municipality or other appropriate authorities. Code 1 is to be recorded if the slum is notified; else code 2 will be recorded.
730
0
1
Notified
365
2
No
365
Year of notification
If code 1 in item 4, year of notification
347
383
1762
2008
1987.21
17.274
Ownership of the land
Ownership of the land where slum is located
The ownership of the land under the slum will be recorded against this item in code. If there is more than one owner, the code that applies to the greater part of the area of the slum will be recorded.
730
0
1
250
2
36
3
305
4
34
9
105
Type of area
Type of area surrounding the slum
The area type of the area surrounding the slum will be recorded in code
730
0
1
416
2
61
3
37
4
181
9
35
Location of slum
Location of slum
The location of the slum refers to the part of the town in which the slum is situated. Fringe area is the border of the town.
730
0
1
fringe area
176
2
other area
553
9
Invalid
1
Physical location
Physical location of the slum
Physical location of the slum refers to the place where the slum is located.
729
0
1
Along nallah/drain
175
2
Along railway line
87
3
51
4
7
9
409
Waterlogged?
Does the slum usually remain waterlogged during monsoon?
Code 1 is to be recorded if the slum usually remains waterlogged during the monsoon and code 2, otherwise.
730
0
1
Waterlogged
256
2
474
Road waterlogged?
Does the approach road / lane / constructed path usually remain waterlogged in monsoon?
Code 1 is to be recorded if the approach road/lane/constructed path to slum usually remains waterlogged for some days during monsoon and code 2, otherwise.
730
0
1
Waterlogged
266
2
464
Electricity?
730
0
1
79
2
142
3
Yes:for street lights and household use
491
4
18
Type of structure
Type of structure of the majority of houses.
730
0
1
392
2
232
3
80
4
Unserviceable katcha
26
5
0
Type of road/lane
Type of road / lane / constructed path within the slum
730
0
1
Pucca road
474
2
Katcha road
256
Approach road
Approach road / lane / constructed path to the slum
730
0
1
478
2
54
3
Non- motorable: pucca
124
4
Non- motorable:katcha
74
Distance from road
For code 3 or code 4 in item 15, distance from the nearest motorable road
This item will be filled if the approach road /lane /constructed path to the slum is non-motorable, that is, if entry in item 15 is 3 or 4. The distance from the nearest motorable road is to be recorded in code.
198
0
1
less than 0.5 km
171
2
21
3
4
4
2
5
0
Major source of drinking water
Major source of drinking water
Information about the major source of drinking water available to the slum dwellers will be ascertained and recorded in code.
730
0
0
NR
1
1
563
2
tube well / hand pump
126
3
14
9
26
Latrine facility
Latrine facility used by most of the residents:
730
0
01
36
02
33
03
Public / community latrine:septic tank/ flush
268
04
6
05
10
06
59
07
6
08
23
10
61
11
105
99
123
sewerage system?
Does the slum have underground sewerage system?
An underground sewerage system contains underground pipes or conduits for carrying off drainage water, waste matter, discharge from water closets, etc. Code 1 is to be given if there is an underground sewerage system and code 2 otherwise.
730
0
1
Underground sewerage
176
2
No
554
Type of drainage
Type of drainage system:
A system, if any exists, for carrying off wastewater and liquid wastes of the area will be called a drainage system. Drainage could involve natural or artificial removal of surface and sub-surface water from a given area. However, if water flows down by its own weight under gravity, in an unregulated manner, then it will be a case of 'no drainage'. The type of drainage system existing in the slum area is to be entered in code against this item.
730
0
1
116
2
79
3
267
4
157
5
No drainage system
111
Garbage disposal
Garbage disposal for the slum
730
0
1
Arrangement by: municipality / corporation
449
2
75
3
114
9
92
Frequency of collection:
The frequency of garbage disposal will be recorded in code. Disposal of garbage may be arranged by municipality / corporation, residents, etc. In case there is no arrangement for disposal of garbage, code 9 (i.e., the code for others) may be given against 'frequency of collection'.
713
0
1
256
2
83
3
Once in 3 to 7 days
128
4
Once in 8 to 15 days
40
9
206
Distance-school
Distance from nearest government primary school
730
0
1
less than 0.5 km
403
2
221
3
83
4
21
5
2
Distance-hospital
Distance from nearest government hospital / health centre etc.:
730
0
1
less than 0.5 km
140
2
188
3
164
4
175
5
63
Have association?
Do the slum dwellers have an association for improving the condition of the slum?
730
0
1
Yes
183
2
No
547
Informant code
Informant code
The information in Blocks 3 and 4 is to be collected from one or more knowledgeable person(s) from the slum(s). The source of such information for each slum collected in Blocks 3 and 4 is to be reported in this item.
730
0
1
616
2
knowledgeable person from the slum: female
64
9
knowledgeable person from outside the slum
50
Multiplier sub-sample-wise
730
0
4
618
134.23
109.001
As given in corresponding variables in dataset of block-1
Multiplier Combined
730
0
2
309
67.115
54.5
As given in corresponding variables in dataset of block-1
Nss
730
0
2
96
11.1
18.746
As given in corresponding variables in dataset of block-1
Nsc
730
0
4
192
22.2
37.493
As given in corresponding variables in dataset of block-1
Multiplier-posted
730
0
400
61800
13423.036
10900.065
As given in corresponding variables in dataset of block-1
Key to locate Slum Slno
730
0
Unique key generated using FSU and Srl.No. of slum
Key to locate FSU
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
Contain duplicates
Record-ID (indicate block no of schedule)
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
04
Block-4
730
Round
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
65
NSS 65 Round
730
Schedule Number
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
021
Schedule-0.21
730
Sample
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
1
Central sample
730
2
State sample
0
Sub-Round
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
1
Sub-round-1
202
2
Sub-round-2
204
3
Sub-round-3
171
4
Sub-round-4
153
Sub-sample
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
1
Sub-sample-1
367
2
Sub-sample-2
363
Sector
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
1
Rural
0
2
Urban
730
State
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
01
Jammu & Kashmir
3
02
Himachal Pradesh
1
03
Punjab
2
04
Chandigarh
7
05
Uttaranchal
5
06
Haryana
7
07
Delhi
53
08
Rajasthan
6
09
Uttar Pradesh
32
10
Bihar
5
11
Sikkim
1
12
Arunachal Pradesh
0
13
Nagaland
2
14
Manipur
0
15
Mizoram
7
16
Tripura
3
17
Meghalaya
0
18
Assam
0
19
West Bengal
78
20
Jharkhand
6
21
Orissa
34
22
Chhattisgarh
6
23
Madhya Pradesh
31
24
Gujrat
57
25
Daman & Diu
0
26
Dadra & Nagar Haveli
0
27
Maharastra
196
28
Andhra Pardesh
73
29
Karnataka
45
30
Goa
7
31
Lakshadweep
0
32
Kerala
9
33
Tamil Nadu
49
34
Pondicheri
5
35
Andaman & Nicober
0
Region
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
1
Region-1
305
2
Region-2
123
3
Region-3
130
4
Region-4
91
5
Region-5
69
6
Region-6
12
FOD-Sub-Region
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
District
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
Stratum
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
Sub-Stratum (urban only)
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
FSU Serial No.
As given in corresponding variables in dataset of block-1
730
0
As given in corresponding variables in dataset of block-1
730
0
road : approach - condition
Condition of approach Road
729
0
1
315
2
379
3
15
4
Neither existed earlier nor existing now
15
9
Invalid
5
road : approach - improvement?
Source of improvement in Approach road
311
0
1
298
2
Non-governmental organization
4
3
2
9
7
road : within - condition
Condition of road : within
As given in variable B4_q1C1
727
0
1
316
2
327
3
39
4
Neither existed earlier nor existing now
40
9
Invalid
5
Source of improvement in road within
314
0
1
296
2
Non-governmental organization
7
3
6
9
5
water supply - condition
As given in variable B4_q1C1
730
0
1
299
2
356
3
34
4
Neither existed earlier nor existing now
36
9
Invalid
5
Source of improvement in water supply
292
0
1
277
2
Non-governmental organization
6
3
4
9
5
street lights- condition
Condition of street lights
As given in variable B4_q1C1
728
0
1
281
2
335
3
16
4
Neither existed earlier nor existing now
90
9
Invalid
6
Source of improvement in street lights
278
0
1
263
2
Non-governmental organization
8
3
2
9
5
electricity - condition
Condition of electricity
As given in variable B4_q1C1
729
0
1
278
2
403
3
14
4
Neither existed earlier nor existing now
29
9
Invalid
5
Source of improvement in electricity
273
0
1
245
2
Non-governmental organization
14
3
9
9
5
latrine facility - condition
Condition of atrine facility
As given in variable B4_q1C1
728
0
1
220
2
360
3
32
4
Neither existed earlier nor existing now
111
9
Invalid
5
Source of improvement in atrine facility
215
0
1
168
2
Non-governmental organization
10
3
32
9
5
sewerage - condition
Condition of sewerage
As given in variable B4_q1C1
729
0
1
136
2
364
3
20
4
Neither existed earlier nor existing now
204
9
Invalid
5
Source of improvement in sewerage
137
0
1
122
2
Non-governmental organization
9
3
3
9
3
drainage- condition
Condition of drainage
As given in variable B4_q1C1
729
0
1
239
2
335
3
27
4
Neither existed earlier nor existing now
123
5
5
9
Invalid
0
Source of improvement in drainage
236
0
1
223
2
Non-governmental organization
7
3
5
9
1
garbage disposal - condition
Condition of garbage disposal
As given in variable B4_q1C1
728
0
1
257
2
325
3
27
4
Neither existed earlier nor existing now
114
9
Invalid
5
Source of improvement in garbage disposal
256
0
1
243
2
Non-governmental organization
8
3
3
9
2
edu facility l- condition
Condition of educational facility
As given in variable B4_q1C1
728
0
1
214
2
443
3
4
4
Neither existed earlier nor existing now
62
9
Invalid
5
edu facility - improvement?
Source of improvement in educational facility
213
0
1
183
2
Non-governmental organization
20
3
1
9
9
medical facility - condition
Condition of medical facility
As given in variable B4_q1C1
728
0
1
154
2
460
3
9
4
Neither existed earlier nor existing now
100
9
Invalid
5
Source of improvement in medical facility
153
0
1
130
2
Non-governmental organization
10
3
1
9
12
Multiplier sub-sample-wise
730
0
4
618
134.23
109.001
As given in corresponding variables in dataset of block-1
Multiplier Combined
730
0
2
309
67.115
54.5
As given in corresponding variables in dataset of block-1
Nss
730
0
2
96
11.1
18.746
As given in corresponding variables in dataset of block-1
Nsc
730
0
4
192
22.2
37.493
As given in corresponding variables in dataset of block-1
Multiplier-posted
730
0
400
61800
13423.036
10900.065
As given in corresponding variables in dataset of block-1